SoftPlusΒΆ

Versioned name: SoftPlus-4

Category: Activation

Short description: SoftPlus takes one input tensor and produces output tensor where the SoftPlus function is applied to the tensor elementwise.

Detailed description: For each element from the input tensor calculates corresponding element in the output tensor with the following formula:

\[SoftPlus(x) = 1/beta*ln(e^{beta*x} + 1.0)\]

Attributes:

  • beta

    • Description: beta is value for the Softplus formulation.

    • Range of values: positive integers

    • Type: int

    • Default value: 1

    • Required: no

Inputs:

  • 1: Multidimensional input tensor of type T. Required.

Outputs

  • 1: The resulting tensor of the same shape and type as input tensor. Required.

Types

  • T: arbitrary supported floating point type. Required.